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Off-Line Calibration of Dynamic Traffic Assignment


Marketed By :  AV Akademikerverlag   Sold By :  Kamal Books International  
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  • Product Description

Revision with unchanged content. Dynamic Traffic Assignment (DTA) models estimate and predict the evolution of congestion through detailed models and algorithms that capture travel demand, network supply and their complex interactions. The availability of rich time-varying traffic data spanning multiple days, collected by automatic surveillance technology, provides the opportunity to calibrate such a DTA model's many inputs and parameters so that its outputs reflect field con­ditions. DTA models are generally calibrated sequentially: supply model cali­bration (assuming known demand inputs) is followed by demand calibration with fixed supply parameters. This book develops an off-line DTA model calibration methodology for the simultaneous estimation of all demand and supply inputs and parameters, using sensor data. A complex, non-linear, stochastic optimization problem is solved, using any general traffic data. Case studies with DynaMIT, a DTA model with traffic estimation and prediction capabilities, indicate that the simultaneous approach significantly out­performs the sequential state of the art. This book is addressed to profes­sionals and researchers who apply large-scale trans­portation models.

Product Specifications
SKU :COC51323
AuthorRamachandran Balakrishna
Number of Pages216
Publishing Year2012-05-22T00:00:00.000
Edition1 st
Book TypeMedia studies
Country of ManufactureIndia
Product BrandAV Akademikerverlag
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-06-08 00:00:00
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